Fair Isaac Corporation

Id Analytics, Inc.

Other

Center for Adaptive Systems Applications

Stephen V Coggeshall

Yinghua Lin

Guowei Wu

Allen P Jost

Wenzhong Zhao

Mona Mayr

Darcy Walker

Mike Cook

Shanji Xiong

Alan Tsang

Tao Hong

Xuhui Shao

Jianjun Xie

Christer J DiChiara

Christer Dichiara

Darwin Villagomez

Joseph Blue

Xuhul Shao

Viktoria Rojkova

Bilal Shaw

Quan Lu

The present invention provides, in at least one embodiment, a system, and method for detecting fraud rings. The system gathers a small group of highly likely fraudsters. The system then looks for groups of these likely fraudsters who are interconnected. When the interconnections are strong, these groups are likely to be fraud rings. Once fraud rings are detected, the links can be applied to better prevent fraud and to help in criminal investigations.

System and method for systematic detection of fraud rings

The present invention provides, in at least one embodiment, a device, system, and method for resolving the identity of at least one person and listing their identity information attributes. The system detects intentional and improper falsifications of the person's personal identity information. The system calculates a manipulation score that indicates the likelihood that the person intentionally and improperly attempted to manipulate their identity information. The manipulation score can be based on the number, type, and systematic nature of the person's variations in their identity information. The system also calculates a collection of identity manipulation attributes that describe explicitly the manner of the improper manipulation, such as the number of Social Security numbers used.

Identity manipulation detection system and method

A computerized method and system for evaluating customers of a financial institution using customer relationship value tags associated customer treatment actions includes automatically analyzing information about a customer from a database of the financial institution by a customer assessment engine using a predefined statistical model to assess the value of the customer to the financial institution. At least one customer treatment action associated with the assessed value is identified by the assessment engine, and the assessment engine marks a file associated with the customer with a mark representing the assessed value and the associated customer treatment action. The marked file is then accessed by other financial systems of the financial institution, or by customer representatives of the financial institution, and the associated customer treatment action is implemented by such systems or representatives in dealing with the customer.

Method and system for evaluating customers of a financial institution using customer relationship value tags

A technique is provided for determining credit ratings without the need for traditional credit bureau data. In at least one embodiment of the invention, a method comprises the steps of providing a network of linked identity records, each identity record comprising identity related information; receiving an identity record comprising identity related information of the entity; linking the received identity record with at least one of the identity records in the network of linked identity records, quantifying a plurality of linked identity records related to the entity; and generating a credit rating for the entity based on the quantified identity records. Application of the invention is particularly useful for individuals with less than a few years credit behavior recorded on a credit bureau, such as immigrants or young people with limited traditional historical information ('thin file') and individuals with no traditional historical information ('no hit').

System and method for credit scoring using an identity network connectivity

A method for using transaction records to detect fraud, including receiving a plurality of identity records comprising identity related information; receiving a plurality of transaction records comprising transaction information from a plurality of client institutions; linking the plurality of identity records with each other based on the identity related information; linking the plurality of transaction records with the identity records, wherein a link between a transaction record and an identity record is created when a characteristic of the transaction information of the transaction record is similar to a characteristic of the identity related information of the identity record, the links forming a graphical pattern; and performing statistical analysis of the graphical pattern to detect fraud, wherein the statistical analysis comprises analyzing the graphical pattern to determine whether the graphical pattern is anomalous when considered in relation to a normal graphical pattern.

System and method for identity-based fraud detection for transactions using a plurality of historical identity records

A method for identifying a fraudulent account application includes receiving a new account application comprising a plurality of identity-related fields and linking the identity-related fields associated with the new account application with identity-related fields associated with a plurality of historical account applications. The links form a graphical pattern on which statistical analysis can be performed to determine the likelihood that the new account application is fraudulent. The statistical analysis can comprise comparing the graphical pattern to a known, or normal graphical pattern in order to detect differences, or anomalies occurring in the graphical pattern associated with the new account application.

System and method for identity-based fraud detection using a plurality of historical identity records

A computerized method and system for evaluating customers of a financial institution using customer relationship value tags and associated customer treatment actions includes automatically analyzing information about a customer from a database of the financial institution by a customer assessment engine using a predefined statistical model to assess the value of the customer to the financial institution. At least one customer treatment action associated with the assessed value is identified by the assessment engine, and the assessment engine marks a file associated with the customer with a mark representing the assessed value and the associated customer treatment action. The marked file is then accessed by other financial systems of the financial institution, or by customer representatives of the financial institution, and the associated customer treatment action is implemented by such systems or representatives in dealing with the customer.

A market selection optimization method comprising the steps of assigning product offers to consumers in the presence of multiple constraints, such that each consumer is assigned at least one product offer; determining a difference in expected profitability associated with the assigned product offer and a different product offer for each consumer; sorting the consumers according to the respective difference in expected profitabilities associated with the product offers; and reassigning the product offers to the sorted consumers in accordance with the respective difference in expected profitabilites. The result of this process is a selection of marketing offers that optimizes expected revenues.

Marketing selection optimization process

A market selection optimization method comprising the steps of assigning product offers to consumers in the presence of multiple constraints, such that each consumer is assigned at least one product offer; determining a difference in expected profitabilty associated with the assigned product offer and a different product offer for each consumer; sorting the consumers according to the respective difference in expected profitabilities associated with the product offers; and reassigning the product offers to the sorted consumers in accordance with the respective difference in expected profitabilities. The result of this process is a selection of marketing offers that optimizes expected revenues.

Growing community of inventors

Los Alamos, NM, United States of America

Stephen V Coggeshall